Method and environment controller for improving predictive models used for controlling a temperature in an area. The environment controller executes a neural network inference engine using first and second predictive models for respectively inferring temperature increase and decrease values based on environmental inputs. The environment controller calculates a temperature adjustment value based on the temperature increase and decrease values, and the temperature in the area is adjusted based on the temperature adjustment value. The environment controller receives a vote related to the temperature in the area transmitted by a user device. The environment controller determines, based on the received vote, values of a first and second reinforcement signals. The environment controller executes a neural network training engine to update the first and second predictive models based on the inputs, respectively the temperature increase and decrease values, and respectively the values of the first and second reinforcement signals.

The present disclosure relates to a system for controlling a supply air temperature adjustment for a cooling unit to optimize operation of the cooling unit with respect to at least one of room air temperature and humidity requirements. The system uses a controller for implementing: a machine learning module configured to select which portion or portions of acquired data pertaining to operation of the cooling unit will be utilized; and a neural network model which uses information supplied by the machine learning module and learns an operational behavior of the cooling unit, and wherein the machine learning module performs supervised learning and regression for the neural network model, and wherein the neural network model uses information supplied by the machine learning module for generating an output. The controller also implements an optimization module which receives the output from the neural network model and which implements a global optimization routine, using unit power consumption of the cooling unit as the objective function, to produce a supply air temperature set point for use by the cooling unit which optimizes an operating parameter of the cooling unit.

The system generally includes a crosspoint switch in a local data collection system having multiple inputs and multiple outputs including a first input connected to a first sensor and a second input connected to a second sensor. The multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of a first sensor signal and a second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal and the second sensor signal. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. The local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history. The local data collection system is configured to manage data collection bands.

The present invention generally relates to a novel concept of analyzing vehicle data for determining e.g. a status of component comprised with the vehicle, specifically by correlating collected vehicle diagnosis data. The invention also relates to a corresponding system and a computer program product. In addition, the invention additionally relates to an arrangement for collecting said vehicle diagnosis data.

The system generally includes a crosspoint switch in the local data collection system having multiple inputs and multiple outputs including a first input connected to the first sensor and a second input connected to the second sensor. The multiple outputs include a first and second output configured to be switchable between a condition in which the first output is configured to switch between delivery of the first sensor signal and the second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal from the first output and the second sensor signal from the second output. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. Unassigned outputs are configured to be switched off producing a high-impedance state. The local data collection system is configured to manage data collection bands. The local data collection system includes a neural net expert system using intelligent management of the data collection bands.

A system includes a crosspoint switch in the local data collection system having multiple inputs and multiple outputs including a first input connected to the first sensor and a second input connected to the second sensor. A first and second output are configured to be switchable between a condition in which the first output is configured to switch between delivery of the first sensor signal and the second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal from the first output and the second sensor signal from the second output. Each input is configured to be individually assigned to any of the outputs. Unassigned outputs are configured to be switched off producing a high-impedance state. The local data collection system is configured to manage data collection bands and includes a neural net expert system using intelligent management of the data collection bands.

Estimating energy generated by a solar system in a predetermined geographic area comprises, at each predetermined time instant: retrieving measured values of at least one weather parameter and of solar irradiance in the geographic area, the values related to a time slot before the predetermined time instant; performing auto-regression analysis of the measured values; estimating, based on the auto-regression analysis, a relationship between the at least one weather parameter and the solar irradiance; retrieving forecasted values of the at least one weather parameter in the geographic area, the forecasted values being forecasted for a second time slot after the predetermined time instant; performing regression analysis of the relationship between the at least one weather parameter and the solar irradiance of the forecasted values; forecasting solar irradiance in the second time slot based on the regression analysis, and estimating energy generated by the solar system in the second time slot.

The system generally includes a crosspoint switch in a local data collection system having multiple inputs and multiple outputs including a first input connected to a first sensor and a second input connected to a second sensor. The multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of a first sensor signal and a second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal and the second sensor signal. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. The local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history. The local data collection system is configured to manage data collection bands.

The system generally includes a crosspoint switch in a local data collection system having multiple inputs and multiple outputs including a first input connected to a first sensor and a second input connected to a second sensor. The multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of a first sensor signal and a second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal and the second sensor signal. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. The local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history. The local data collection system is configured to manage data collection bands.

The system generally includes a crosspoint switch in the local data collection system having multiple inputs and multiple outputs including a first input connected to the first sensor and a second input connected to the second sensor. The multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of the first sensor signal and the second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal from the first output and the second sensor signal from the second output. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. Unassigned outputs are configured to be switched off producing a high-impedance state. The local data collection system includes multiple multiplexing units and multiple data acquisition units receiving multiple data streams from multiple machines in the industrial environment. The local data collection system includes distributed complex programmable hardware device (CPLD) chips each dedicated to a data bus for logic control of the multiple multiplexing units and the multiple data acquisition units that receive the multiple data streams from the multiple machines in the industrial environment.